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PaX-DBSCAN: a proposed algorithm for improved clustering

Samson, Grace and Joan, Lu (2016) PaX-DBSCAN: a proposed algorithm for improved clustering. Economic Studies Science Notebooks, 6. pp. 86-121. ISSN 2083-8611

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We focused on applying parallel computing technique to the bulk loading of X-tree in other to improve the performance of DBSCAN clustering algorithm. We have given a full description of how the system can be archived. We proposed a new parallel algorithm for DBSCAN and another algorithm to extend the X-tree spatial indexing structure. Spatial database systems incorporate space in database systems, they support non-traditional data types and more complex queries, therefore in order to optimise such systems for efficient information processing and retrieval, appropriate techniques must be adopted to facilitate the construction of suitable index structures.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Schools: School of Computing and Engineering
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Depositing User: Grace Samson
Date Deposited: 08 Mar 2017 13:36
Last Modified: 28 Aug 2021 12:14


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